CryptoKon (v1.1.5)

CryptoKon is a revolutionary web application that helps you stay ahead of the curve in the ever-changing world of cryptocurrency. With its advanced analysis tools, CryptoKon provides a deep understanding of the trends and movements within specific crypto projects, empowering you to make informed investment decisions. Say goodbye to sifting through endless data and hello to a streamlined, user-friendly platform that puts the power of crypto analysis at your fingertips

Features Of CryptoKon Web App

Can Fetch upto 10000000 Tweets.
Gives a detailed Trend Analysis of the tweets.
Gives the most Trending Analysis to View, Retweet, links and Comments Engagement of the fetched tweets.
Gives a seperate Analysis of Whales account Engagement.
Calculating Moving Averages(7/14/30/60)days on the Engagement so that you can get better understanding of the trend.
Shows Percentage Change of like, share, comment, views, retweets, tweets engagement in 5 interval different intervals.
Show a detail information of a perticular crypto project such as market detail, Tokonomics, Score Board, Token ICO Details and manymore.
Manymore Features you will not regrate trying it.

Check out the live demo: https://cryptokon.streamlit.app

Vedio demo:

How to run the project?

Clone or download this repository to your local machine.
Install all the libraries mentioned in the requirements.txt file with the command pip3 install -r requirements.txt
Open your terminal/command prompt from your project directory and run the file app.py by executing the command streamlit run app.py.
You will be automatically redirected the your localhost in brower where you can see you WebApp in live.

Points To Be Noted:

If you are targeting a large amount of tweets (ex: 50000 Tweets) I recommend you to do the following steps:

Open your terminal/command prompt from your project directory and run the file data_collector.py by executing the command python data_collector.py.
enter your query, from date you want to collect the tweets, to date you want ot collect the tweets till, and the tweets limit.
Let the Script to run
When the scripts says Tweets Collection Completed
You can see the output folder you will get your all tweets infomation in csv files.
Open your terminal/command prompt from your project directory and run the file app.py by executing the command streamlit run app.py.
Upload the file to the web app and see magic.

A Large number of tweets fetching can sometimes crash the app. So try running the app in your localhost, and use the `data_collector.py` method to have a smooth experience.

nayane95 / cryptokon Goto Github PK

cryptokon's Introduction

CryptoKon (v1.1.5)

Features Of CryptoKon Web App

Check out the live demo: https://cryptokon.streamlit.app

Vedio demo:

How to run the project?

Points To Be Noted:

If you are targeting a large amount of tweets (ex: 50000 Tweets) I recommend you to do the following steps:

A Large number of tweets fetching can sometimes crash the app. So try running the app in your localhost, and use the `data_collector.py` method to have a smooth experience.

If you Use this Code for Any Commercial Purpose. Please Don't Forget To mention or give shoutout to everydaycodings.

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nayane95 / cryptokon Goto Github PK

cryptokon's Introduction

CryptoKon (v1.1.5)

Features Of CryptoKon Web App

Check out the live demo: https://cryptokon.streamlit.app

Vedio demo:

How to run the project?

Points To Be Noted:

If you are targeting a large amount of tweets (ex: 50000 Tweets) I recommend you to do the following steps:

A Large number of tweets fetching can sometimes crash the app. So try running the app in your localhost, and use the data_collector.py method to have a smooth experience.

If you Use this Code for Any Commercial Purpose. Please Don't Forget To mention or give shoutout to everydaycodings.

cryptokon's People

Contributors

Recommend Projects

Recommend Topics

Recommend Org

A Large number of tweets fetching can sometimes crash the app. So try running the app in your localhost, and use the `data_collector.py` method to have a smooth experience.